Loading...
Loading...
Found 1,173 Skills
This skill should be used when the user wants to create a pull request, or submit code for review. Triggers on "push a PR", "create a PR", "open a pull request", "make a PR", "submit for review".
Analyze code for logic bugs, error handling issues, and edge cases. Detects off-by-one errors, null handling, race conditions, and incorrect error paths. Use when reviewing core business logic or complex algorithms.
arthrod's coding philosophy and dispatcher. Universal red-green TDD, stacked PRs, test-always, evidence-before-claims. Routes to conejo-code (active coding), conejo-frontend (strict UI), conejo-merge (calm PR/merge). Use when starting any coding work or deciding how to approach a task.
Use OpenAI Codex CLI through MCP to get AI-powered code analysis, generation, review, and web search directly in your editor
PASS, FLAG, and BLOCK review discipline for workflow review, QA verification, release checks, and issue closeout.
Use when writing, fixing, editing, reviewing, or refactoring any Python code. Enforces Robert Martin's complete Clean Code catalog—naming, functions, comments, DRY, and boundary conditions.
Consult an advisory council of three AI personas — Cato (skeptic), Ada (optimist), Marcus (pragmatist) — backed by different frontier LLM agents (Gemini, Claude, Codex). Each persona runs as a separate agent process with full repo context and returns independent feedback. Use when the user says "/council", asks for a second opinion, wants feedback on code changes, needs a premortem, wants to pressure-test a decision, or asks "what do you think about this approach?" Claude may also proactively suggest consulting the council before major architectural decisions, risky deploys, or ambiguous trade-offs (but should ask for user approval first).
Submit pull request (PR) review from chat session to PR conversations. Use when asked to "submit PR review" or "submit review to PR #123". Identifies issues in the current chat session, creates line-specific review comments, avoids duplication with existing comments, and submits the review via GitHub CLI.
Discourse 패턴으로 다관점 리뷰를 수행한다. Tech Spec 리뷰와 에픽 통합 코드 리뷰를 모두 처리하며, 쟁점 해소 프로토콜에 따라 합의/미합의를 분리한다.
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
Comprehensive TypeScript file audit system. Command-only skill (no natural triggers). Accepts file or directory path to systematically audit through accelint-ts-testing, accelint-ts-best-practices, accelint-ts-performance, and accelint-ts-documentation skills. Maintains progress tracking across sessions with interactive change approval. Uses isolated git worktrees to enable parallel audits without conflicts.
Add line-specific review comments to pull requests using GitHub CLI API